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In order for any learning-based model to be considered reliable, it needs a well-behaved uncertainty or confidence estimate. Most modern neural networks do produce a confidence estimate in the form of their softmax output probability. However, the softmax probability is invalid for out-of-distribution data. Gaussian processes are known to produce a well-behaved confidence estimate that is aware of
Case study research plays an important role for social and political scientists working within the qualitative tradition, with the field of international relations (IR) being no exception. This article provides methodological reflections on the challenges of investigating ‘elusive’ cases within the global governance domain of IR. Taking stock of my experience of studying global multi-stakeholder p
Children with hemophilia have a significantly higher risk of intracranial hemorrhage (ICH) compared to the normal population. Prophylaxis reduces the risk of ICH and earlier initiation of prophylaxis may now be feasible, especially in hemophilia A (HA). The aim of the study is to explore the potential for preventing ICH by earlier start of prophylaxis by assessing the natural course of ICH before
In contemporary enterprises, customer satisfaction analysis has become a critical area of concentration. Being able to understand and predict customer satisfaction is becoming more and more important as companies try to develop and launch new products. Leveraging customer data intelligently and employing robust data analytics techniques are essential for meeting this imperative. With this objectiv
Plasma p-tau217 and tau positron emission tomography (PET) are strong prognostic biomarkers in Alzheimer’s disease (AD), but their relative performance in predicting future cognitive decline among cognitively unimpaired (CU) individuals is unclear. In a head-to-head comparison study including nine cohorts and 1,474 individuals, we show that plasma p-tau217 and medial temporal lobe tau-PET signal d
Background: In this study, we further developed an artificial intelligence (AI)-based method for the detection and quantification of tumours in the prostate, lymph nodes and bone in prostate-specific membrane antigen (PSMA)-targeting positron emission tomography with computed tomography (PET–CT) images. Methods: A total of 1064 [18F]PSMA-1007 PET–CT scans were used (approximately twice as many com
BACKGROUND: Balloon-guide catheters (BGC) have been associated with improved procedural and functional outcomes following endovascular thrombectomy (EVT) in multiple observational studies. Recently the PROTECT-MT trial challenged this benefit, showing worse functional outcomes when using BGCs. This study aims to assess the association between BGC-use and procedural and functional outcomes in a lar
This paper presents a novel convolutional neural network (CNN)-based control chart for detecting localized and subtle speckle shifts (displacements) in the images. To enhance detection accuracy, especially in detecting localized and simultaneous shifts, we design a custom CNN architecture and utilize a training methodology. Moreover, instead of inputting the entire images, we divide them into equa
Objective: To identify and quantify risk factors for incident knee osteoarthritis (KOA) across the lifespan. Methods: This systematic review and meta-analysis identified eligible studies from seven electronic databases and three registries. Longitudinal cohort studies or randomised controlled trials evaluating participants who developed incident symptomatic and/or radiographic KOA were included. T
Background and aims: Heart transplantation is the preferred treatment for selected patients with end stage heart failure. Kidney function often declines after heart transplantation. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) slow the decline in eGFR in different populations. However, the effect of SGLT2i on kidney function in heart transplant recipients is unknown. Methods: The Dapaglifloz
This article examines how the U.S. ‘inclusion-and-difference paradigm’translates to the Swedish context. According to Steven Epstein (2007), thisparadigm combines health equity arguments for racialised minorities andwomen with a biological understanding of racial and gender differences inmedicine. Drawing on interviews with experts, policymakers, and clini-cians involved in international clinical
Direct reprogramming of somatic cells into neurons offers a promising strategy for studying neurological disorders and developing cell-based therapies. This protocol describes the 3D direct reprogramming of human glial progenitor cells into dopaminergic neurons. It includes spheroid formation, lentiviral transduction, neuronal induction using doxycycline, and validation via gene expression and imm
This chapter delves into the evaluation of national innovation policies through a case study of the Brazilian National Innovation Policy (NIP). Assessing these policies poses several challenges, including the difficulty of defining and measuring policy outcomes, the scarcity of reliable data, and the intricacies of interactions among various stakeholders involved in the policy. Additionally, polit
As the global energy transition progresses, a range of drivers and barriers will continue to shape consumer attitudes and behavioural intentions towards emerging low-carbon technologies. The innovation-decision process for technologies composing the residential sector such as hydrogen-fuelled heating and cooking appliances is inherently governed by the complex interplay between perceptual, cogniti
Sorption-enhanced steam reforming (SorESR) is an advanced thermochemical process integrating in-situ CO2 capture via solid sorbents to significantly enhance hydrogen production and purity. By coupling CO2 adsorption with steam reforming, SorESR shifts the reaction equilibrium toward increased H₂ yield, surpassing the limitations of conventional steam reforming (SR). The efficacy of SorESR critical
This study presents an approach of inventory, morphometric analysis, and geoconservation assessment of the exceptional denudation landforms of the Markovi Kuli geosite in North Macedonia. By integrating Digital Elevation Models (DEM) and orthophoto imagery processed from the UAV-based aerial photos of the area using Agisoft Metashape software, a high-resolution 0.1 m 3D model is produced. The mode
In Nordic countries, demand response (DR) programs are critical for enhancing energy flexibility and reducing peak electricity consumption in buildings and industry. Accurate short-term demand forecasting is essential to support these programs, especially in the context of cities with varying levels of data availability. This paper compares three different forecasting approaches for hourly electri
Work and working conditions are fundamental social determinants of health. Climate change poses an urgent and growing threat to workers' health, through both direct exposure to environmental hazards and indirect exacerbation of social and health inequalities. Occupational health, which focusses on the promotion of mental and physical health and well-being of workers, is a key but often overlooked
